DIY agent platforms need a team to babysit them
Zapier, Make, n8n, Lindy dashboards eat headcount.
Every prompt tweak, every API change, every edge case lands on your team.
That is not a platform — it is outsourced staff you still manage.
Managed AI
Last updated: November 2026
Managed AI employees, set up and run for your team
Rebotify builds, connects and runs an AI employee for an agreed business task. We look after the AI instructions, tool connections, monitoring and weekly improvements. Your team reviews the prepared work in its existing tools and approves customer-facing and sensitive actions.
Tell us which automated tasks your team keeps checking or fixing. Our team will reply within one business day.
Runs inside
Gmail
Outlook
Slack
HubSpot
Salesforce
Notion
Zendesk
Google Drive
Where the work gets stuck
Start with the task that slows your team down.
Choose one recurring task with clear examples and someone responsible for reviewing the work.
Consultants build it and leave
One-off implementation projects hand you a system and an invoice.
When your CRM adds a field, when your process shifts, when output drifts, you are debugging alone.
Nobody owns ongoing quality.
Most managed AI vendors hide pricing and take months
Discovery calls before you can see a number.
Six to twelve weeks of implementation before anything ships.
You need something running this week, on a price you can forecast.
Work in motion
What it looks like when the work is moving.
Week-one outputs. Drafted for review before send.
EXAMPLE · 01
Inbox triage and reply drafting
The operator runs the morning queue, your team approves what goes out, and weekly tuning closes the loop on missed categories.
EXAMPLE · 02
Document checks and exception flagging
Contracts, invoices, or applications get a first-pass review inside the operator-managed playbook; humans review only the flags.
EXAMPLE · 03
Weekly reporting and anomaly summaries
Numbers, narrative, and call-outs prepared by the AI employee; the operator tunes the report template as the business changes.
Tasks we can help with
What your AI employee can prepare.
01
First work ready for review in 48 hours
We agree one task and connect the tools it needs.
With the required access ready at our setup meeting, the first work is ready for your team to review within 48 hours.
We then keep managing and improving it.
02
Weekly tuning and incident response
Each week we review what the AI did, what it missed, and what changed in your process.
Edge cases become rules.
New fields, policy shifts, and tool updates get handled the same week.
03
Daily monitoring and guardrails
The AI runs every day.
We watch an error log for failed steps, stalled queues, and upstream changes — a bounced email, a CRM field that renamed itself, a source system that timed out.
You see a plain-language summary; we own the fix.
Human approvals stay in the queue where you set them, with a named approver for anything sensitive.
04
Three ways to pay, month-to-month contract
Flat monthly, per-completed-task, or by outcome.
You pick the model that matches the work, month-to-month.
Send us the bottleneck and rough volume to scope the workflow and confirm the price.
Human control
The AI employee prepares the work. Your team makes the decisions.
You approve every sensitive decision
Customer-facing, legal, financial, and unusual actions wait in the queue for a named human to sign off.
Scoped tool access
The AI employee gets only the permissions its job needs.
Access can be revoked any day, same day.
Nothing trains shared models
We do not train shared models on your data.
Tuning happens inside your engagement, not a shared pool.
What managed does not include
This is not 24/7 live incident response, and Rebotify does not hold or claim SOC 2, HIPAA, or PCI certification.
Monitoring runs daily, tuning runs weekly, and anything sensitive waits for a named human to sign off.
If a workflow needs certified compliance coverage, say so before scope is set.
Governance follows a recognized reference, not a badge
The operating loop — scope, connect, monitor, human sign-off, tune — tracks the structure the NIST AI Risk Management Framework describes for governing, mapping, measuring, and managing AI risk.
That is a design reference we hold ourselves to, not a certification Rebotify has been awarded.
When another approach may fit better
- You want to build your own agents in-house and own every prompt and integration.
- You want a platform license you can resell to your customers.
- You want one-off project delivery with no ongoing operating relationship.
What to measure
- The team approves work and reviews metrics — nobody on payroll is debugging prompts.
- Misses become updates to the playbook within the same week they happen.
- When a tool changes (new CRM field, new approval policy), the operator handles the change.
Work scorecard
Which task could an AI employee help with?
Use these four questions to choose a starting task. Send us an enquiry to discuss the cost, risks and approvals it would need.
We’ll discuss whether an AI employee or a person is better suited to the task.
WORK SCORECARD
Four questions about the work, its cost, the result you need and who approves it.
Work
What keeps piling up?
Replies, reports, document requests, checks, approvals or follow-ups your team repeats.
Cost
What does it cost now?
Staff time, manager attention, customer wait time, rework, missed follow-ups, or lost revenue.
Quality
What would make it useful?
More useful drafts, faster replies, fewer errors or clearer information for the next person.
Control
What still needs human approval?
Customer promises, pricing, refunds, legal language, financial decisions, or anything that can damage trust.
Use your answers to discuss the task, pricing and a small first test with our team.
What is managed AI?
Managed AI is a service where the provider builds, runs, and tunes the AI role for you, instead of selling you a platform to configure yourself. Rebotify scopes the workflow, wires the tools, monitors it daily, tunes it weekly, and puts sensitive decisions in front of a named human. You review the work; you don’t administer the software.
How is it different from an AI platform?
A platform gives your team a dashboard, credits, and prompts to maintain. Managed AI gives your team a role that already runs, with Rebotify accountable for keeping it running. There is no seat login for your staff to learn and no prompt library for them to own.
Who owns errors?
Rebotify does. We monitor an error log daily for failed steps and stalled queues and fix what breaks. Anything that reached a customer, or could have, is reviewed the same week and turned into a playbook rule so it does not repeat.
Can it access all company data?
No. The AI employee gets the specific, scoped permissions its one workflow needs — a shared inbox label, a CRM object, a helpdesk queue — not blanket account access. Scopes can be revoked the same day if anything changes.
What happens after 48 hours?
The first workflow goes live with real drafts in your review list. After that, Rebotify keeps watching it daily and tuning it weekly: misses get reviewed, the playbook gets updated, and a second workflow only gets scoped once the first one has earned trust.
Related pages
Browse all servicesAI consulting
AI automation services for work your team repeats
AI receptionist
An AI receptionist for voicemail, enquiries and follow-ups
AI personal assistant
An AI personal assistant for your inbox, meetings and follow-ups
CRM workflow automation
CRM workflow automation for follow-ups and accurate records
START WITH ONE TASK
Tell us what you need help with. We’ll agree the first task together.
Send an enquiry
Tell us which automated tasks your team keeps checking or fixing.
Our team will reply within one business day.